Predicting how bacteria evolve resistance to antibiotics
A priori adaptive evolution predictions for antibiotic resistance through genome-wide network analyses and machine learning
This study looks at how bacteria, like Streptococcus pneumoniae, change to survive against antibiotics, helping us understand why some bacteria become resistant and how we can better prevent this in hospitals.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston Children's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11055062 on NIH RePORTER |
What this research studies
This research investigates how bacteria adapt and evolve to resist antibiotics, focusing on the genetic and environmental factors that influence these changes. By analyzing the genetic networks of bacteria and their responses to antibiotic stress, researchers aim to identify patterns that can predict future resistance. The study employs advanced machine learning techniques to analyze data from experiments with the bacterium Streptococcus pneumoniae, providing insights into the mechanisms of antibiotic resistance. This approach could lead to better strategies for managing and preventing antibiotic resistance in clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients with infections caused by antibiotic-resistant bacteria, particularly those involving Streptococcus pneumoniae.
Not a fit: Patients with viral infections or those not affected by antibiotic resistance may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for predicting and preventing antibiotic resistance, ultimately enhancing treatment outcomes for patients with bacterial infections.
How similar studies have performed: Other research has shown promise in using machine learning and genetic analysis to understand bacterial evolution, suggesting that this approach could yield valuable insights.
Where this research is happening
Boston, United States
- Boston Children's Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Van Opijnen, Tim — Boston Children's Hospital
- Study coordinator: Van Opijnen, Tim
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.